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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A bi-objective genetic approach for the selection of sugarcane varieties to comply with environmental and economic requirements

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Author(s):
de Oliveira Florentino, H. [1] ; Pato, M. V. [2, 3]
Total Authors: 2
Affiliation:
[1] Univ Estadual Paulista, UNESP, BR-18618000 Botucatu, SP - Brazil
[2] Univ Tecn Lisboa, ISEG, P-1100 Lisbon - Portugal
[3] Univ Lisbon, Ctr Invest Operacinal, P-1699 Lisbon - Portugal
Total Affiliations: 3
Document type: Journal article
Source: Journal of the Operational Research Society; v. 65, n. 6, SI, p. 842-854, JUN 2014.
Web of Science Citations: 2
Abstract

The selection of sugarcane varieties is an important problem faced by companies in Brazil that exploit sugarcane harvest for energy production. In the light of current concerns regarding the reduction of environmental damage and the efficiency of the production system, research into this problem is called for. In this context the authors begin by outlining the sugarcane variety selection problem in accordance with technical constraints with the purpose of minimizing collection and transport costs and maximizing energy balance obtained from residues of the sugarcane harvest. They then present a previously developed model for the problem within bi-objective binary linear programming and study its computational complexity. Fundamentally, this paper is devoted to the application of a bi-objective genetic heuristic to the question addressed. A computational experiment, performed by resorting to a test set including real and semi-randomly generated instances, is then reported. The results prove the high quality of the heuristic in terms of solution quality, besides computing time. For these reasons, this will be an appropriate tool to help sugarcane company managers to plan their producing activities. (AU)

FAPESP's process: 10/07585-6 - Heuristic techniques for solving multiobjective models
Grantee:Helenice de Oliveira Florentino Silva
Support type: Research Grants - Visiting Researcher Grant - International
FAPESP's process: 09/14901-4 - Process optimization in sugarcane industry
Grantee:Helenice de Oliveira Florentino Silva
Support type: Regular Research Grants